The SIPHER Consortium: Introducing the new UK hub for systems science in public health and health economic research.

Adverse Childhood Experiences Complex systems Economic evaluation Health in All Policies Housing Inclusive Growth Inequalities Non-Communicable Disease Prevention Public Mental Health Public Policy Wellbeing

Journal

Wellcome open research
ISSN: 2398-502X
Titre abrégé: Wellcome Open Res
Pays: England
ID NLM: 101696457

Informations de publication

Date de publication:
2019
Historique:
accepted: 07 11 2019
entrez: 10 12 2019
pubmed: 10 12 2019
medline: 10 12 2019
Statut: epublish

Résumé

The conditions in which we are born, grow, live, work and age are key drivers of health and inequalities in life chances. To maximise health and wellbeing across the whole population, we need well-coordinated action across government sectors, in areas including economic, education, welfare, labour market and housing policy. Current research struggles to offer effective decision support on the cross-sector strategic alignment of policies, and to generate evidence that gives budget holders the confidence to change the way major investment decisions are made. This open letter introduces a new research initiative in this space. The SIPHER ( Systems Science in Public Health and Health Economics Research) Consortium brings together a multi-disciplinary group of scientists from across six universities, three government partners at local, regional and national level, and ten practice partner organisations. The Consortium's vision is a shift from health policy to healthy public policy, where the wellbeing impacts of policies are a core consideration across government sectors. Researchers and policy makers will jointly tackle fundamental questions about: a) the complex causal relationships between upstream policies and wellbeing, economic and equality outcomes; b) the multi-sectoral appraisal of costs and benefits of alternative investment options; c) public values and preferences for different outcomes, and how necessary trade-offs can be negotiated; and d) creating the conditions for intelligence-led adaptive policy design that maximises progress against economic, social and health goals. Whilst our methods will be adaptable across policy topics and jurisdictions, we will initially focus on four policy areas: Inclusive Economic Growth, Adverse Childhood Experiences, Mental Wellbeing and Housing.

Identifiants

pubmed: 31815191
doi: 10.12688/wellcomeopenres.15534.1
pmc: PMC6880277
doi:

Types de publication

Journal Article

Langues

eng

Pagination

174

Subventions

Organisme : Medical Research Council
ID : G0601721
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/S037578/1
Pays : United Kingdom
Organisme : Department of Health
ID : KMRF-2017-06-ST2-003
Pays : United Kingdom
Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : Department of Health
ID : PDF-2012-05-258
Pays : United Kingdom

Informations de copyright

Copyright: © 2019 Meier P et al.

Déclaration de conflit d'intérêts

No competing interests were disclosed.

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Auteurs

Petra Meier (P)

School of Health and Related Research, University of Sheffield, Sheffield, S1 4DA, UK.

Robin Purshouse (R)

Department of Automatic Control & Systems Engineering, University of Sheffield, Sheffield, S1 3JD, UK.

Marion Bain (M)

Population Health Directorate, Scottish Government, Edinburgh, EH1 3DG, UK.

Clare Bambra (C)

Institute of Health and Society, Newcastle University, Newcastle upon Tyne, NE1 4LP, UK.

Richard Bentall (R)

Clinical Psychology Unit, Department of Psychology, University of Sheffield, Sheffield, S1 2LT, UK.

Mark Birkin (M)

Leeds Institute for Data Analytics, University of Leeds, Leeds, LS2 9NL, UK.

John Brazier (J)

School of Health and Related Research, University of Sheffield, Sheffield, S1 4DA, UK.

Alan Brennan (A)

School of Health and Related Research, University of Sheffield, Sheffield, S1 4DA, UK.

Mark Bryan (M)

Department of Economics, University of Sheffield, Sheffield, S1 4DT, UK.

Julian Cox (J)

Greater Manchester Combined Authority, Manchester, M1 6EU, UK.

Greg Fell (G)

Sheffield City Council, Sheffield, S1 2HH, UK.

Elizabeth Goyder (E)

School of Health and Related Research, University of Sheffield, Sheffield, S1 4DA, UK.

Alison Heppenstall (A)

Leeds Institute for Data Analytics, University of Leeds, Leeds, LS2 9NL, UK.

John Holmes (J)

School of Health and Related Research, University of Sheffield, Sheffield, S1 4DA, UK.

Ceri Hughes (C)

Inclusive Growth Analysis Unit, University of Manchester, Manchester, M13 9PL, UK.

Asif Ishaq (A)

Population Health Directorate, Scottish Government, Edinburgh, EH1 3DG, UK.

Visakan Kadirkamanathan (V)

Department of Automatic Control & Systems Engineering, University of Sheffield, Sheffield, S1 3JD, UK.

Nik Lomax (N)

Leeds Institute for Data Analytics, University of Leeds, Leeds, LS2 9NL, UK.

Ruth Lupton (R)

Inclusive Growth Analysis Unit, University of Manchester, Manchester, M13 9PL, UK.

Suzy Paisley (S)

School of Health and Related Research, University of Sheffield, Sheffield, S1 4DA, UK.

Katherine Smith (K)

School of Social Work & Social Policy, University of Strathclyde, Glasgow, G4 0LT, UK.

Ellen Stewart (E)

Centre for Biomedicine, Self & Society, University of Edinburgh, Edinburgh, EH8 9AG, UK.

Mark Strong (M)

School of Health and Related Research, University of Sheffield, Sheffield, S1 4DA, UK.

Elizabeth Such (E)

School of Health and Related Research, University of Sheffield, Sheffield, S1 4DA, UK.

Aki Tsuchiya (A)

School of Health and Related Research, University of Sheffield, Sheffield, S1 4DA, UK.
Department of Economics, University of Sheffield, Sheffield, S1 4DT, UK.

Craig Watkins (C)

Department of Urban Studies and Planning, University of Sheffield, Sheffield, S1 4DP, UK.

Classifications MeSH